华东师范大学学报(自然科学版) ›› 2009, Vol. 2009 ›› Issue (3): 63-71.

• 海岸带资源开发与环境 • 上一篇    下一篇

基于BP网络研究城市扩张中的道路因素:以张家港市为例

钱育蓉1，2,李建龙1,干晓宇1,杨峰1   

  1. 1. 南京大学 生命科学学院， 南京210093； 2. 新疆大学 软件学院， 乌鲁木齐830008
  • 收稿日期:2008-11-05 修回日期:2009-02-23 出版日期:2009-05-25 发布日期:2009-05-25
  • 通讯作者: 李建龙

Research of road factors in urban expansion basedon BP network: A case study of Zhangjiagang city

QIAN Yurong1,2，LI Jianlong1，GAN Xiaoyu1，YANG Feng1   

  1. 1. School of Life Science, Nanjing University, Nanjing210093, China 2. Software College, Xinjiang University, Urumqi830008, China
  • Received:2008-11-05 Revised:2009-02-23 Online:2009-05-25 Published:2009-05-25
  • Contact: LI Jianlong

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摘要： 结合GIS和BP神经网络等方法，将多幅TM遥感影像和土地利用图栅格化和数字化，抽取了道路距离、NDBI（归一化建筑指数）和NDVI（归一化植被指数）等影响因子，利用BP神经网络仿真了张家港市城市扩张侵占农用地的变化规律，以定量描述城市化过程中道路对农用地的影响.结果表明：距道路约500 m内的农转非概率高达12%，道路对周边农地减少的影响最远辐射至2 000 m处；-0.3<NDBI<0.5时，距道路越近，农地越容易转化为建筑用地；同时，BP网络易陷入局部极小点的缺陷可以通过增加BP网络训练点来避免.

关键词: 人工神经网络, 归一化建筑指数, 归一化植被指数, 城市扩张, 人工神经网络, 归一化建筑指数, 归一化植被指数, 城市扩张

Abstract: This paper picked up the impact factors of road distance, NDBI (Normalized Difference Buildup Index), NDVI(Normalized Difference Vegetation Index) and so on by means of analyzing the TM RS images and land use map digitally in Zhangjiagang city. In order to figure the effect of road to cropland in urbanization quantificationally, BP ANN (Back Propagation Artificial Neural Networks) was used to simulate the process of invasion and occupation of urban expansion in Zhangjiagang city. The results indicated that the probability of change from cropland to urban increased as high as 12% inside the range of 500 m around the road, and the impact of road to surrounding cropland reach the farthest to 2 000 m away. When -0.3<NDBI<0.5,the cropland neighboring the road was more easily transformed to urban. Finally, increasing training points of BP ANN could avoid the network to get into local minimum point defects.

Key words: NDBI (normalized difference buildup index), NDVI (normalized difference vegetation index), urban expansion, artificial neural network (ANN), NDBI (normalized difference buildup index), NDVI (normalized difference vegetation index), urban expansion

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